Vizit developed the world’s first Visual Brand Performance Platform to help leading brands and retailers measure, understand, and optimize the business impact of their visual marketing, content, and design investments using patented AI technology.
Brands have historically lacked real-time insight into audience preferences. Instead, they’ve settled for relying on a combination of gut instinct as well as quantitative and qualitative research to form a picture of their target audience.
While traditional tactics have long been a staple of marketing, their slow nature has increasingly become outdated and ineffective in today's fast-paced digital landscape. These methods are reactive instead of predictive, with results rolling in long after products have entered the market or campaigns have elapsed. It amounts to wasted resources and untapped potential.
AI has the potential to change all of that. But before we look to the future of audience research, let’s take a look at the past.
Businesses get audience research through a variety of methods, including:
Teams use a combination of these tactics to develop a deeper understanding of their target audience, which informs marketing and ecommerce strategies and improves their chances of success. But there are some notable drawbacks to these methods that have hampered teams for years.
Digital has transformed all aspects of marketing and ecommerce, and audience research is no different. In today’s age of increased competition—where there are thousands of other brands just a quick online search away—brands cannot sit back and rely on outdated methods.
Artificial intelligence sidesteps many of the obstacles that come along with traditional research while helping teams make data-driven decisions, be efficient with media spend, and create more consumer impact. Forward-thinking companies are turning to AI-based predictive analytics, which provide more accurate and comprehensive insights into audience behavior and preferences.
Brands and retailers today need to create a smarter, systematic way of creating and maintaining optimized content. When it comes to brand visuals, that means:
When a consumer views you in the context of a competitor, you will now naturally stand out. Those are the moments where your content can and will win the sale for you. Imagine this happens with every single image of every product in your catalog and every campaign your brand runs.
Traditional audience research methods may not be completely dead. But they need a jolt to survive—and AI provides it. Predictive image analytics is revolutionizing how brands and retailers collect and apply audience insights.